DCS在50MW供热机组上的应用

介绍I/A’S系统在巨化热电厂八号50MW供热机组上应用实例,并从DCS系统的整体设计到实现的功能、控制效果等多方面进行了分折,总结了调试和运行经验。     

General relativity and quantum mechanics: towards a generalization of the Lambert W function A Generalization of the Lambert W Function

We present a canonical form for a natural and necessary generalization of the Lambert W function, natural in that it requires minimal mathematical definitions for this generalization, and necessary in that it provides a means of expressing solutions to a number of physical problems of fundamental nature. This generalization expresses the exact solutions for general-relativistic self-gravitating N-body systems in one spatial and one time dimension, and a previously unknown mathematical link between the (1+1) gravity problem and the Schrödinger wave equation.     

一种新型多功能建筑胶

该胶研制了一种由脲醛改性聚乙烯醇水性胶组成、具有成本低、性能好、用途广等特点，可广泛用于建筑及装饰行业的建筑胶。     

电气绝缘材料的性能与发展

本文介绍了常用的固体绝缘材料的性能与作用，阐述固体绝缘材料的发展趋势。     

Energetic surface heterogeneity of nanocrystalline TiO<Subscript>2</Subscript> films for dye-sensitized solar cells

Dye sensitized solar cells (DSSCs) have been receiving significant attention because they have many advantages compared to conventional organic solar cells. It has been known that the photovoltaic characteristics of DSSC are highly dependent on the adsorption properties of dyes on TiO₂ films. To analyze the surface heterogeneity of TiO₂ surfaces, single-phase anatase nanocrystallite titanium films were prepared by sol-gel method using the hydrolysis reaction of titanium tetraisopropoxide under acidic condition and characterized by XRD, FE-SEM and BET analysis. The adsorption energy distribution functions were calculated by the generalized nonlinear regularization method. It was found that the shape and the intensity of the adsorption energy distribution curve determined were highly related with the physical properties (i.e., geometrical heterogeneity) and chemical characteristics (i.e., energetic heterogeneity) of nanocrystalline TiO₂ for DSSC.     

无服务器平台资源调度综述

无服务器(Serverless)计算正成为部署云应用程序的一种具有广阔发展前景的范式。其实现了一种真正的现收现付的计费方式,并且不会浪费资源。开发人员无需担心计算平台的底层细节,只需在处理请求或事件时付费,从而降低了开发人员的门槛。无服务器模式的转变虽然带来了机遇,但也带来了平台函数冷启动延迟、资源利用不足等问题。为此,文中对无服务器计算平台的资源调度技术做了深入的调查和分析,重点阐述了面向资源利用、响应时间延迟以及多目标优化的无服务器平台资源调度的技术原理和相关研究现状,并在此基础上分析总结并指明了无服务器平台资源调度未来的主要研究方向:即面向不同应用类型负载的调度优化、响应时间与资源利用率的折衷调度、虚拟机与无服务器平台的联合调度以及无服务器资源调度的混合算法。     

文化统战与高校档案工作

本文在论述新时期文化统战的基本内涵基础上,提出从文化的角度看待我国的政党制度,看待我国的民族工作,看待我国社会转型和阶层分化,就能有更新的视野和更深刻的反思,有利于促进新时期统战工作。高校是文化传承和创新的重要阵地,高校的档案是校园文化的重要组成部分,在文化统战中发挥着特殊的作用。     

台达VE系列变频器在桥式起重机中的应用

本文介绍了桥式起重机的工作原理和应用环境,详细阐述了台达VFD—VE系列变频器应用于行车电动机的变频驱动原理与功能模式。为VFD—VE变频器在行车行业中的应用提供了参考。     

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification

A classification problem is a decision-making task that many researchers have studied. A number of techniques have been proposed to perform binary classification. Neural networks are one of the artificial intelligence techniques that has had the most successful results when applied to this problem. Our proposal is the use of q-Gaussian Radial Basis Function Neural Networks (q-Gaussian RBFNNs). This basis function includes a supplementary degree of freedom in order to adapt the model to the distribution of data. A Hybrid Algorithm (HA) is used to search for a suitable architecture for the q-Gaussian RBFNN. The use of this type of more flexible kernel could greatly improve the discriminative power of RBFNNs. In order to test performance, the RBFNN with the q-Gaussian basis functions is compared to RBFNNs with Gaussian, Cauchy and Inverse Multiquadratic RBFs, and to other recent neural networks approaches. An experimental study is presented on 11 binary-classification datasets taken from the UCI repository. Moreover, aerial imagery taken in mid-May, mid-June and mid-July was used to evaluate the potential of the methodology proposed for discriminating Ridolfia segetum patches (one of the most dominant and harmful weeds in sunflower crops) in two naturally infested fields in southern Spain.     

BEMD在复杂背景下弱小目标检测中的应用

针对复杂背景下的弱小目标检测与识别问题,提出了一种基于二维经验模态分解(Bidimensional Empirical Mode Decomposition,BEMD)的检测算法。待检测的原图像经过BEMD分解筛选出多个二维的内蕴模函数(Intrinsic Mode Functions,IMF)和趋势图像,使用全局门限法分割各个IMF,将处理后的IMFs综合成一个分割出待检测目标的结果图像。实验结果表明,该方法使用简洁的步骤,有效、准确地检测出弱小目标。